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This project focuses on the development of a simulation-based Electric Vehicle (EV)charging system using the MATLAB/Simulink environment, aimed at designing an efficientsolar- powered charging solution. With the growing demand for electric vehicles, there is an increasing need for clean and sustainable energy sources to support charging infrastructure. The proposed system utilizes Solar Photovoltaic (PV) panels as the primary energy source to convert sunlight into electrical energy. Since the output of PV panels varies with solar radiation and temperature, a Maximum Power Point Tracking (MPPT) algorithm is implemented to ensure optimal performance, specifically using the Perturb and Observe (P&O) method, which continuously adjusts operating conditions to extract maximum power under varying environmental conditions. The generated solar power is then processed through a DC-DC buck converter to regulate the voltage according to EV battery requirements. A battery management system ensures safe and efficient charging by controlling voltage and current while monitoring the State of Charge (SOC). The integration of solar panels, MPPT controller, power converter, and battery system is modeled and simulated in MATLAB/Simulink to achieve stable and reliable performance. The results demonstrate effective tracking of the maximum power point and consistent charging output, highlighting that solar-powered EV charging is a practical, efficient, and eco-friendly solution that supports sustainable energy utilization and future green transportation systems.